{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "source": [
    "import torchvision.transforms as transforms\n",
    "import torch\n",
    "import numpy as np\n",
    "import imageio\n",
    "import skimage.measure\n",
    "import cv2\n",
    "import tqdm\n",
    "# import ipdb\n",
    "import warnings\n",
    "import imgaug.augmenters as iaa\n",
    "import matplotlib\n",
    "matplotlib.use('Agg')\n",
    "import matplotlib.pyplot as plt\n",
    "import os\n",
    "import sys\n",
    "\n",
    "sys.path.insert(\n",
    "    0, os.path.abspath(\"/home/yangchen/projects/other_experments/any_nerf_depth_inxyz/src\"))"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "source": [
    "from data import get_split_dataset"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "source": [
    "dset = get_split_dataset(\n",
    "    \"dvr\", \"dataset/NMR_Dataset\", want_split=\"train\", training=True\n",
    ")"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Loading DVR dataset dataset/NMR_Dataset stage train 30643 objs type: shapenet\n",
      "stage train depth file is loaded!\n"
     ]
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "source": [
    "data_loader = torch.utils.data.DataLoader(\n",
    "    dset, batch_size=1, shuffle=False, num_workers=0, pin_memory=False\n",
    ")"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "source": [
    "%matplotlib inline\n",
    "# for i in range(10):\n",
    "p = np.random.choice(30000,1)[0]\n",
    "print(p)\n",
    "image = ((dset[p][\"images\"][0].permute(1,2,0).numpy()+1)/2*255.).astype(np.uint8)\n",
    "depth = (dset[p][\"depth\"][0]*255.).astype(np.uint8)\n",
    "plt.imshow(image)\n",
    "plt.show()\n",
    "plt.imshow(depth)\n",
    "plt.show()\n"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "3755\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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",
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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
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   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "## here we confirm the data"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "source": [
    "import torch\n",
    "val_clip = torch.load(\"/data/yangchen/val_clip.pth\")"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "source": [
    "import clip\n",
    "from PIL import Image\n",
    "device = \"cuda:3\" if torch.cuda.is_available() else \"cpu\"\n",
    "model, preprocess = clip.load('ViT-B/32', device)\n",
    "\n",
    "image = Image.open(\"/home/yangchen/projects/pixel-nerf/dataset/NMR_Dataset/02691156/7385f1416e93f1c14ba2821676102936/image/0023.png\")\n",
    "image = preprocess(image)\n",
    "feat = model.encode_image(image.unsqueeze(0).to(device)).float()\n",
    "feat /= feat.norm(dim=-1, keepdim=True)\n",
    "print(torch.abs(val_clip[0][23] - feat[0].detach().cpu()).max())"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "tensor(0.0004)\n"
     ]
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "source": [],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "tensor(0.0004)"
      ]
     },
     "metadata": {},
     "execution_count": 13
    }
   ],
   "metadata": {}
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